Company Overview:

MindInventory is a leading software development company based in Ahmedabad, specializing in delivering high-end digital solutions across web, mobile, and emerging technologies. We partner with global enterprises and startups to build scalable, robust, and innovative products. Our culture is rooted in technical excellence, continuous learning, and a collaborative environment where engineers are encouraged to solve complex business challenges through cutting-edge technology and agile methodologies.

Role Overview:

As an AI/ML Engineer at MindInventory, you will be at the forefront of our innovation lab, transforming raw data into intelligent, automated solutions. You will work closely with cross-functional teams, including product managers and software architects, to design and deploy sophisticated models that enhance user experiences and optimize business operations. Your day-to-day will involve everything from data preprocessing and model training to integrating advanced Generative AI and LLM-based features into our client-facing platforms, ensuring our solutions remain at the cutting edge of the industry.

Key Responsibilities:

- Minimum of (3+) years of experience in AI-based application development.

- Experience fine-tuning Large Language Models (LLMs) or working with domain-specific AI models.

- Experience building production-grade AI applications using RAG, AI Agents, or multi-agent systems.

- Familiarity with Vector Search, Knowledge Graphs, and AI observability/evaluation frameworks.

- Experience deploying AI/ML solutions using Docker, Kubernetes, and cloud-native services.

- Contributions to open-source AI projects, research publications, or participation in AI communities is a plus.

- Proficiency in Python (libraries like NumPy, Pandas, Scikit-learn, and PyTorch/TensorFlow).

- Strong understanding of Machine Learning (ML) and Deep Learning (DL) algorithms.

- Hands-on experience with Computer Vision techniques (image classification, object detection, segmentation).

- Practical experience with Generative AI and Large Language Models (LLMs) such as GPT, LLaMA, Mistral, Claude, Gemini, or similar models.

- Experience building RAG (Retrieval-Augmented Generation) pipelines for enterprise applications.

- Hands-on experience building AI Agents and agentic workflows using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex, or similar orchestration frameworks.

- Familiarity with No-Code / Low-Code AI automation platforms such as n8n, Dify, Flowise, or LangFlow.

- Hands-on experience with Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS, or Qdrant).

- Experience with classification tasks and building predictive models.

- Proficiency with deep learning frameworks: PyTorch and/or TensorFlow / Keras.

- Exposure to NLP techniques or libraries (NLTK, Hugging Face, spaCy).

- Exposure to cloud platforms such as AWS, Azure, or GCP.

- Familiarity with MLOps practices and tools (Docker, MLflow, Git, CI/CD).

- Strong analytical and problem-solving abilities with a passion for solving real-world business challenges.

- Ability to translate business requirements into scalable AI and machine learning solutions.

- Excellent communication and collaboration skills for working with cross-functional teams and clients.

- Self-motivated learner with enthusiasm for exploring emerging AI technologies and industry trends.

- Ability to work independently while effectively managing priorities in a fast-paced environment.

- Strong ownership mindset with attention to quality, performance, and continuous improvement.